Top Tweets for #distributedSQL
Getting the number right is only step one. Users ask "why did costs rise?" & "what next?". Agents need attribution, not just accurate queries. Verifiable evidence beats plausible-sounding explanations. #DistributedSQL #Analytics #OceanBase
How complete the relationship graph looks is not the test. Ontology works based on 3 things: reliable answers to real questions, auditable analysis paths, & results that help people act. Start with high-value use cases. #DistributedSQL #OceanBase
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Success means defensible answers, not just plausible ones. Verification distinguishes supported results from those lacking evidence in the execution path. #DistributedSQL #AI #OceanBase
Workflows compile into data-kernel operations validated before dispatch. This ensures source roles & filtering scope match the answer contract before execution begins. #DistributedSQL #CloudNative #OceanBase
Workflows are compiled into data-kernel operations & validated before dispatch. For cross-database analysis, the system issues source-specific queries & combines intermediate results. #DistributedSQL #AI #OceanBase
T+1 latency isn't a minor delay. It's an overnight gap where business conditions change completely. Reducing analytics latency from hours to seconds transforms reactive reporting into proactive decision-making. #DistributedSQL #OceanBase
Agents editing code need freshness-checked evidence. Stale repository maps lead to broken dependencies. Native understanding verifies implementation before any edit occurs. #DistributedSQL #AI #OceanBase
Capabilities validated on benchmarks are consolidating into a unified product line. The goal moves agents from calling data to completing tasks with data autonomously. #AI #DistributedSQL #OceanBase
Success isn't just a correct result. It's a defensible answer. Final selection must weigh execution evidence against unresolved blocking issues before returning values to the user. #DistributedSQL #AI #OceanBase
Native code understanding provides inspectable evidence for every change proposal. Agents trace implementation using freshness-checked repository data before editing anything. Efficiency gains compound over time. #DistributedSQL #AI #OceanBase
Complex workflows require human interruptibility. Agents must pause & resume exactly where they left off, preserving local variables & execution stack. #DevOps #DistributedSQL #OceanBase
Row store isn't always the answer. Column store isn't either. Some workloads need hybrid storage formats at the table level to balance write throughput and scan efficiency. Flexibility beats rigid architecture. #DistributedSQL #CloudNative #OceanBase
Before release, ran a LoCoMo-Plus stress test. Comparison uses same materials & tasks, then adds judgment on top. We watched how final answers & runtime cost changed. #AI #DistributedSQL #OceanBase
Connecting a model doesn't grant automatic history. Relevant evidence must be passed explicitly into the request. This forces clarity on what the model actually sees during evaluation. #AgenticAI #DistributedSQL #OceanBase
Frameworks manage logic, not state persistence. Mixing orchestration w/ storage creates coupling. Dedicated context infrastructure separates concerns. Architecture walkthrough: #DistributedSQL #AI #OceanBase https://t.co/RQcEEJBwE4
JSON logs aren't enough for complex state. Binary serialization or structured graphs capture dependencies better. Context infrastructure needs a type system for agent memory to ensure integrity. #DistributedSQL #AI #OceanBase
Agent hosts often speak different runtime languages. One executes on Kubernetes, another on local edge runtime. Context infrastructure must abstract the execution environment to enable true workload portability. #DistributedSQL #DevOps #OceanBase
Validation needs rigor. LoCoMo-Plus stress test compares flows w/ and w/o judgment models. Watch how final answers and runtime cost change. Measure impact of extra judgment before scaling deployment. #AI #DistributedSQL #OceanBase
Connecting a model doesn't mean it knows your history. Project history isn't automatic. Relevant evidence has to be passed in explicitly. Assumptions about context availability create silent failures in production agents. #DistributedSQL #LLM #OceanBase
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